Relationship among Facebook jealousy, aggression, and personal and relationship variables
H. Andaç Demirtaş-Madran
Behaviour and Information Technology, 2018, vol. 37, issue 5, 462-472
Abstract:
In the last decade, jealousy research has focused on the Facebook jealousy; however, few studies have identified its relationship to aggression. The purpose of this study is to investigate the relationship between Facebook jealousy and aggression, and some personal and relational variables. A sample of 846 participants (516 females, 330 males) aged 18–66 years from Turkey completed the Facebook Jealousy Questionnaire, Rosenberg Self-Esteem Scale, and Buss–Perry Aggression Questionnaire. From an evolutionary perspective, gender differences in jealousy could be explained through evolution-based differences in parental investment, and that males exhibit increased jealousy in response to sexual infidelity, whereas females become jealous in response to emotional infidelity. A forced-choice question (with a choice of sexual infidelity or emotional infidelity as the more jealousy evoking) was asked to the participants in order to determine gender differences on sexual and emotional jealousy. Results indicated no significant gender differences in Facebook Jealousy scores. Self-esteem and age negatively predicted Facebook jealousy. All aggression sub-types significantly predicted Facebook jealousy. Consistent with the evolutionary perspective and previous evidence, chi-square analysis showed that males’ and females’ responses to the forced-choice question differ significantly.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2018.1451919 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:37:y:2018:i:5:p:462-472
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2018.1451919
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().